def background_thread(ds, year_ds, month_ds, timeseries_ds):
"""Plot animation, update data if play is True, otherwise stop"""
try:
while True:
for year_index in np.arange(2000, 2015, 1):
year_ds.data["text"] = [str(year_index)]
for month_index in np.arange(1, 13, 1):
if should_play():
month_ds.data["text"] = [months_str[month_index-1]]
image = get_slice(t, year_index, month_index)
date = datetime.date(year_index, month_index, 1)
timeseries_ds.data["x"] = [date]
timeseries_ds.data["y"] = [df[df.datetime == date].moving_average]
ds.data["image"] = [image]
cursession().store_objects(ds, year_ds, month_ds, timeseries_ds)
time.sleep(0.5)
time.sleep(0.5)
except:
logger.exception("An error occurred")
raise
def background_thread(ds, year_ds, month_ds, timeseries_ds):
"""Plot animation, update data if play is True, otherwise stop"""
try:
while True:
for year_index in np.arange(2000, 2015, 1):
year_ds.data["text"] = [str(year_index)]
for month_index in np.arange(1, 13, 1):
if should_play():
month_ds.data["text"] = [months_str[month_index - 1]]
image = get_slice(t, year_index, month_index)
date = datetime.date(year_index, month_index, 1)
timeseries_ds.data["x"] = [date]
timeseries_ds.data["y"] = [
df[df.datetime == date].moving_average
]
ds.data["image"] = [image]
cursession().store_objects(ds, year_ds, month_ds,
timeseries_ds)
time.sleep(0.5)
time.sleep(0.5)
except:
logger.exception("An error occurred")
raise
# Output option
output_server("climate")
# Plots
climate_map = climate_map()
timeseries = timeseries()
legend = legend()
# Create layout
map_legend = hplot(climate_map, legend)
layout = vplot(map_legend, timeseries)
# Show
show(layout)
# Select data source for climate_map
renderer = climate_map.select(dict(name="image"))
ds = renderer[0].data_source
# Create an infite loop to update image data
import time
while True:
for year_index in np.arange(2000, 2015, 1):
for month_index in np.arange(1, 13, 1):
image = get_slice(t, year_index, month_index)
ds.data["image"] = [image]
cursession().store_objects(ds)
time.sleep(0.2)
def update():
for year_index in np.arange(2000, 2015, 1):
for month_index in np.arange(1, 13, 1):
image = get_slice(t, year_index, month_index)
ds.data["image"] = [image]
def update():
for year_index in np.arange(2000, 2015, 1):
for month_index in np.arange(1, 13, 1):
image = get_slice(t, year_index, month_index)
ds.data["image"] = [image]